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构造出一种建模网络 ,通过对它的学习来辨识过程动态 ,通过对广义预测控制目标函数的在线优化求得控制律。仿真结果验证了该算法的有效性
A modeling network was constructed, and its learning process was used to identify the process dynamics. The control law was obtained by online optimization of the generalized predictive control objective function. Simulation results verify the effectiveness of the algorithm